|
Article information
2024 , Volume 29, ¹ 1, p.93-106
Palchikova I.G., Budaeva I.A., Smirnov E.S.
Generation of a digital passport for gunshot residues using the computer vision techniques
The ImgOpinion software, capable to perform the optical and structural analysis of a digital image of the object by computer vision methods, was developed. It can be employed in expert laboratories as a part of the computer vision hardware-software complex MS-Unit together with specialized illuminator “Photobox 3138” with a digital recording camera. The output data is constructed in the form of a digital passport of the gunshot residue, which contains forensically significant characteristics of the object under investigation, as well as a gunshot residue detected on it. Purpose. The research has solved the problem of creating a specialised hardware and software complex for forensic examination, the use of which partially automates the processes of identification and quantitative characterisation of gunshot traces and products. Methodology. Non-destructive research methods are implemented in computer vision systems, which include two main stages: a digital image acquisition and its mathematical processing. The hardware and software complex of a computer vision usually consists of an illuminator, a digital recording video camera and a specialised program for processing the raw data. Findings. ImgOpinion software has been developed, which allows performing the optical-structural analyses of digital images using the computer vision methods and is intended for use in expert laboratories as part of the MS-Unit computer vision hardware and software complex, which includes a specialized illuminator “Photobox 3138” with a digital recording camera. Autonomous and portable device has a mobile design and provides white light with colour temperature 5000 K (CIE D50) and colour rendering index CRI = 97+. Six independently switched LED monochrome illuminators with narrow spectral bands from 365 to 880 nm (UV to IR spectral bands) provide the uniform illumination without extraneous stray light on the working field (light intensity drop below 2 % at the edges of the working field). Value. The ImgOpinion output is constructed in the form of a digital passport of a gunshot injury, which contains forensically relevant characteristics of the object of investigation. The digital passport is an adaptation of the forensically significant information on the firearm traces for the integration into specialized databases for further development of the automation of expert evaluation processes, conducting the automated trace comparison and the determination of incident circumstances by it.
[link to elibrary.ru]
Keywords: gunshot residue, digital image processing, damage passport
doi: 10.25743/ICT.2024.29.1.009
Author(s):
Palchikova Irina Georgievna
Dr. , Associate Professor
Position: Head of Laboratory
Office: Technological Design Institute of Scientific Instrument Engineering Siberian Branch RAS, Novosibirsk State University
Address: 630058, Russia, Novosibirsk, 41, Russkaya str.
Phone Office: (383) 3065874
E-mail: palchikova@tdisie.nsc.ru
SPIN-code: 1716-4143Budaeva Irina Alexandrovna
Position: Assistent
Office: Technological Design Institute of Scientific Instrument Engineering Siberian Branch RAS, Novosibirsk State University
Address: 630058, Russia, Novosibirsk, 41, Russkaya str.
Phone Office: (383) 3065874
SPIN-code: 1716-4143Smirnov Evgenii Sergeevich
Position: Senior Research Scientist
Office: Federal State government-financed organization Technological Design Institue of Scientific Instrument Engineering Siberian Branch of the Russian Academy of Sciences
Address: 630058, Russia, Novosibirsk, 41, Russkaya str.
Phone Office: (383) 3065874
E-mail: evgenii.s.smirnov@yandex.ru
SPIN-code: 3286-2250 References:
1. Belyakov A.L., Matyushenkov A.N., Popova T.V. Oruzhievedenie: chast’ 3. Sudebnaya ballistika. Uchebnoe posobie [Weapons science: pt 3. Forensic ballistics. Training manual]. Chelyabinsk: Chelyabinskiy Yuridicheskiy Institut MVD Rossii; 2004: 200. (In Russ.)
2. Smirnov V.E. Laws of the gas-powder jet development when fired from a small-arms gun. Ekspertnaya Tekhnika. 1987; (65):34–45. (In Russ.)
3. Latyshov I.V., Palchikova I.G., Kondakov A.V., Vasiliev V.A., Smirnov E.S. Topical problems of the development of the modern technical means for the criminalistic research of the shot tracks. Forensic Examination. 2017; (52):55–63. (In Russ.)
4. Latyshov I.V., Kondakov A.V., Vasiliev V.A., Pakhomov M.E. Vozmozhnosti ispol’zovaniya apparatnykh resursov videospektral’nogo komparatora “Docucenter Nirvis Projectina” pri proizvodstve sudebno-ballisticheskikh issledovaniy sledov vystrela [Possibilities of using the hardware resources of
the Docucenter Nirvis Projectina video spectral comparator in the forensic ballistic investigation of gunshot residues]. Judicial Expertise: Russian and International Experience: Proceedings of the 2nd International Scientific-Practical Conference. Volgograd: VA MVD Rossii; 2014: 181–184. (In Russ.)
5. Potapova L.Ph. Ispol’zovanie diffuzionno-kontaktnogo metoda v sudebno-ballisticheskoy ekspertize [Use of the diffusion-contact method in forensic ballistics]. Moscow: VNIISE; 1987: 16. (In Russ.)
6. Prozorovskiy V.I. Sudebnaya meditsina [Forensic medicine]. Moscow: Yuridicheskaya Literatura; 1968: 170. (In Russ.)
7. Gonzalez R.C., Woods R.E. Digital image processing. Prentice Hall: Pearson Education, Inc.; 2008: 1103.
8. Palchikova I.G., Karamchuk E.V., Smirnov E.S., Palchikov E.I., Samoylenko M.S. Multifunctional semiconductor lighting. Proceedings of the Russian Higher School Academy of Sciences. 2020; (3):62–74. DOI:10.17212/1727-2769-2020-3-62-74. (In Russ.)
9. Palchikova I.G., Karamchuk E.V., Smirnov E.S., Palchikov E.I., Samoylenko M.S. Standalone spectrozone lighting device with white light function and high colour rendering index. Instruments and Experimental Techniques. 2021; (3):155–157. DOI:10.31857/S0032816221030241. (In Russ.)
10. Bastrykin A.I. Kriminalistika. Uchebnoe posobie [Criminalistics. Training manual]. Moscow: Izdatel’stvo Sankt-Peterburgskoy Akademii Sledstvennogo Komiteta Rossiyskoy Federatsii; 2019: 506. (In Russ.)
11. Latyshov I.V., Palchikova I.G., Kondakov A.V., Vasiliev V.A., Smirnov E.S. Gunshot damage data sheet as an integrative part of innovative hardware/software complexes. Forensic Examination. 2020; (2):58–66. (In Russ.)
12. Palchikova I.G., Latyshov I.V., Smirnov E.S., Vasiliev V.A., Kondakov A.V., Budaeva I.A. Computer vision in analyzing the propagation of a gasgunpowder jet. Sensors. 2022; (1):6. DOI:10.3390/s22010006.
13. Photoshop system requirements. Available at: https://helpx.adobe.com/photoshop/systemrequirements.html (accessed 24.01.2024).
14. OpenCV modules. Available at: http://docs.opencv.org/index.html (accessed 24.11.2021).
15. Makogon S.A., Zori S.A. Sravnenie populyarnykh bibliotek komp’yuternogo zreniya dlya ispol’zovaniya v prilozhenii po raspoznavaniyu tranzistorov [Comparison of popular computer vision libraries for use in transistor recognition applications]. Sbornik Nauchnykh Trudov II Mezhdunarodnoy Nauchno-Prakticheskoy Konferentsii “Programmnaya Inzheneriya: Metody i Tekhnologii Razrabotki Informatsionno-Vychislitel’nykh Sistem”. Donetsk; 2018: 67–71. (In Russ.)
16. Apache license, version 2.0. Available at: https://www.apache.org/licenses/LICENSE-2.0.
17. Chulkov I.A. Strelkovoe ognestrel’noe oruzhie i ego sledy na pulyakh, gil’zakh i pregradakh. Chast’ 13 [Firearms and their traces on bullets, cartridges and barriers. Pt 13]. Volgograd: VA MVD Rossii; 2019: 76. (In Russ.)
18. Agoston M.K. Computer graphics and geometric modeling. London: Springer; 2005: 301.
19. Pal’chikova I.G., Latyshov I.V., Smirnov E.S., Kondakov A.V., Vasil’ev V.A. Colorimetric method used for establishing circumstances of fireshot. Forensic Examination. 2019; (2):28–37. DOI:10.25724/VAMVD.GUVW. (In Russ.)
Bibliography link:
Palchikova I.G., Budaeva I.A., Smirnov E.S. Generation of a digital passport for gunshot residues using the computer vision techniques // Computational technologies. 2024. V. 29. ¹ 1. P. 93-106
|
